River sediments
Satellite(s)e.g., RapidEye. | Monitoring elementWater spectral reflectance. |
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Description techniquePereira et al. (2019) evaluate the potential of multi-temporal high-resolution satellite imagery to assess suspended sediment concentrations. For this purpose a series of spectral band based indices for suspended sediment concentrations estimation were used for comparison with in-situ concentration data. | Accuracy / ResolutionSpatial resolution: 5 m. |
Case studyJaguaribe River, Brazil. | |
BenefitsRapidEye images can assess moderate suspended sediment concentrations of intermittent rivers (67-223 mg/L), even when their discharge is low. The RapidEye indices performed better than those from literature. | LimitationsHydrological characteristics of semi-arid intermittent rivers generate difficulties to monitor suspended sediment concentrations using optical satellite remote sensing, such as time-concentrated sediment yield; and its association with recent rainfall events and, therefore, with cloudy sky. |
Applicability for NorthlandYes, likely. An important limitation would come from the need to acquire high-resolution imagery, which at the moment is not available freely, and would therefore induce monitoring costs. Techniques applying optical data will be limited in coverage and temporal granularity by the persistent cloud cover in the region, particularly during the winter months. Mature cloud-masking techniques are directly available for open access multispectral data (e.g. Landsat and Sentinel-2). When using commercial data, care must be taken to ensure that there is sufficiently cloud free imagery available, as cloud masking is not as mature and ordering a large volume of imagery to ensure complete cloud free coverage between multiple observations can become cost prohibitive. | |
Publication referencePereira FJS, Costa CAG, Foerster S, Brosinsky A, de Araújo JC. 2019. Estimation of suspended sediment concentration in an intermittent river using multi-temporal high-resolution satellite imagery. International Journal of Applied Earth Observation and Geoinformation. 79:153-161. doi:10.1016/j.jag.2019.02.009. https://gfzpublic.gfz-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_4247893 | |
Other referenceEspinoza Villar R, Martinez J-M, Le Texier M, Guyot J-L, Fraizy P, Meneses PR, Oliveira Ed. 2013. A study of sediment transport in the Madeira River, Brazil, using MODIS remote-sensing images. Journal of South American Earth Sciences. 44:45-54. doi:10.1016/j.jsames.2012.11.006. |